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E-grāmata: Flows in Networks Under Fuzzy Conditions

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This book offers a comprehensive introduction to fuzzy methods for solving flow tasks in both transportation and networks. It analyzes the problems of minimum cost and maximum flow finding with fuzzy nonzero lower flow bounds, and describes solutions to minimum cost flow finding in a network with fuzzy arc capacities and transmission costs. After a concise introduction to flow theory and tasks, the book analyzes two important problems. The first is related to determining the maximum volume for cargo transportation in the presence of uncertain network parameters, such as environmental changes, measurement errors and repair work on the roads. These parameters are represented here as fuzzy triangular, trapezoidal numbers and intervals. The second problem concerns static and dynamic flow finding in networks under fuzzy conditions, and an effective method that takes into account the networks transit parameters is presented here. All in all, the book provides readers with a practical reference guide to state-of-the art fuzzy methods for solving flow tasks and offers a valuable resource for all researchers and postgraduate students in the fields of network theory, fuzzy models and decision-making.





 
1 Flow Tasks in Networks in Crisp Conditions
1(22)
1.1 Basic Concepts of the Flow Theory
1(1)
1.2 Selecting of the Arc Capacities
2(2)
1.2.1 Factors Leading to the Problem Statements in Fuzzy Conditions
3(1)
1.3 Fuzzy Logic as the Main Tool of Dealing with Uncertainty
4(5)
1.4 Flow Tasks in Transportation Networks
9(6)
1.4.1 Maximum Flow Finding in a Network
9(2)
1.4.2 Maximum Flow Finding in a Network with Nonzero Lower Flow Bounds
11(1)
1.4.3 Minimum Cost Flow Finding in a Network
11(3)
1.4.4 Minimum Cost Flow Finding in a Network with Nonzero Lower Flow Bounds
14(1)
1.5 Flow Tasks in Dynamic Networks
15(4)
1.5.1 Maximum Flow Finding in Dynamic Networks with Zero and Nonzero Lower Flow Bounds
15(2)
1.5.2 Minimum Cost Flow Finding in Dynamic Network with Zero and Nonzero Lower Flow Bounds
17(2)
1.6 Summary
19(4)
References
19(4)
2 Maximum and Minimum Cost Flow Finding in Networks in Fuzzy Conditions
23(54)
2.1 Maximum Flow Finding in a Network with Fuzzy Arc Capacities
23(3)
2.2 Method of Fuzzy Calculations with Fuzzy Numbers
26(7)
2.3 Maximum Flow Finding in a Network with Fuzzy Nonzero Lower and Upper Flow Bounds
33(12)
2.4 Minimum Cost Flow Finding in a Network with Fuzzy Arc Capacities and Transmission Costs
45(14)
2.4.1 Potential Method for the Minimum Cost Flow Finding in a Network with Fuzzy Arc Capacities and Transmission
47(12)
2.5 Minimum Cost Flow Finding in a Network with Fuzzy Nonzero Lower, Upper Flow Bounds and Transmission Costs
59(15)
2.6 Summary
74(3)
References
74(3)
3 Flow Tasks Solving in Dynamic Networks with Fuzzy Lower, Upper Flow Bounds and Transmission Costs
77(84)
3.1 Definition of the Fuzzy Dynamic Network
77(2)
3.2 Maximum Flow Finding in Dynamic Network with Fuzzy Transit Arc Capacities
79(13)
3.3 Maximum Flow Finding in Dynamic Network with Fuzzy Transit Nonzero Lower and Upper Flow Bounds
92(17)
3.4 Minimum Cost Flow Finding in Dynamic Network with Fuzzy Transit Arc Capacities and Transmission Costs
109(26)
3.5 Minimum Cost Flow Finding in Dynamic Network with Fuzzy Nonzero Lower, Upper Flow Bounds and Transmission Costs
135(23)
3.6 Summary
158(3)
References
158(3)
4 Implementing the Program for Solving the Flow Tasks in Networks in Fuzzy Conditions
161(6)
4.1 Functional Purpose of Proposed Program Complex
161(2)
4.2 Description of the Logical Structure of the Software Mode
163(3)
4.3 Preparing of Input Data Using GIS ObjectLand
166(1)
4.4 Summary
166(1)
References
166(1)
Conclusion 167